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Robust methods in biostatistics /
Regulatory bodies and medical journals regularly raise their standards in terms of the quality of statistical analyses presented, wanting to ensure statistical methods are not misused leading to wrong conclusions. Following this trend there is a growing need for robust statistics in medical research...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, U.K. ; Hoboken :
J. Wiley,
2009.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Regulatory bodies and medical journals regularly raise their standards in terms of the quality of statistical analyses presented, wanting to ensure statistical methods are not misused leading to wrong conclusions. Following this trend there is a growing need for robust statistics in medical research. Robust statistics is an extension of classical statistics that specifically takes into account that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable withy respect to changes in the data or model departures. |
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| Descripción Física: | 1 online resource (xiv, 268 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 249-264) and index. |
| ISBN: | 9780470740545 047074054X 9780470740538 0470740531 9786612123221 6612123222 |